Veranstaltungsverzeichnis
Institute of Physics
- English course offer for exchange students :
- Faculty of Mathematics and Science
- Institute of Physics
| VAK | Title | Type | SWS | Teachers | Degree |
|---|---|---|---|---|---|
| 5.04.666 |
Lasers in Medicine I
Tuesday: 10:15 - 11:45, weekly (from 13/04/21) Description: The students are enabled to understand basic laser biotissue interaction processes based on the knowledge of optical and thermal properties of biotissue. The students are able to describe the principle function of a laser, distinguish between the different laser types and designs regarding medical laser systems. The students have a basic knowledge on beam guiding techniques, medical applicators, and safety requirements. The students gain an overview on lasers in medicine and a first insight into clinical laser applications via an excursion to a clinic. Content: - Optical and thermal properties of biotissue - Basic interaction processes of light and biotissue - Medical laser systems - Beam guiding and applicators - Introduction to lasers in medicine - Laser safety and regulatory affairs in medicine - Insight into clinical laser therapy (Excursion) The students are enabled to understand basic laser biotissue interaction processes based on the knowledge of optical and thermal properties of biotissue. The students are able to describe the principle function of a laser, distinguish between the different laser types and designs regarding medical laser systems. The students have a basic knowledge on beam guiding techniques, medical applicators, and safety requirements. The students gain an overview on lasers in medicine and a first insight into clinical laser applications via an excursion to a clinic. Content: - Optical and thermal properties of biotissue - Basic interaction processes of light and biotissue - Medical laser systems - Beam guiding and applicators - Introduction to lasers in medicine - Laser safety and regulatory affairs in medicine - Insight into clinical laser therapy (Excursion) |
Lecture | 2 |
Prof. Dr. Walter Neu, Dipl.-Phys. |
|
| 5.04.4212 |
Current Topics in Machine Learning and its Applications
Wednesday: 14:00 - 16:00, weekly (from 14/04/21) Description: The students will learn the current research directions and challenges of the Machine Learning research field. By presenting examples from Machine Learning algorithms applied to sensory data tasks including task in Computer Hearing and Computer Vision the students will be taught the current strengths and weaknesses of different approaches. The presentations of current research papers by the participants will make use of computers and projectors. Programming examples and animations will be used to support the interactive component of the presentations. In scientific discussions of the presented and related work, the students will deepen their knowledge about current limitations of Machine Learning approaches both on the theoretical side and on the side of their technical and practical realizations. Presentations of interdisciplinary research will enable the students to carry over their Machine Learning knowledge to address questions in other scientific domains. Contents: Building up on advanced Machine Learning knowledge, this seminar discusses recent scientific contributions and developments in Machine Learning as well as recent papers on applications of Machine Learning algorithms. Typical application domains include general pattern recognition, computer hearing, computer vision and computational neuroscience. Typical tasks include auditory and visual signal enhancements, source separation, auditory and visual object learning and recognition, auditory scene analysis, data compression and inpainting. Applications to computational neuroscience will discuss recent papers on the probabilistic interpretation of neural learning and biological intelligence. The students will learn the current research directions and challenges of the Machine Learning research field. By presenting examples from Machine Learning algorithms applied to sensory data tasks including task in Computer Hearing and Computer Vision the students will be taught the current strengths and weaknesses of different approaches. The presentations of current research papers by the participants will make use of computers and projectors. Programming examples and animations will be used to support the interactive component of the presentations. In scientific discussions of the presented and related work, the students will deepen their knowledge about current limitations of Machine Learning approaches both on the theoretical side and on the side of their technical and practical realizations. Presentations of interdisciplinary research will enable the students to carry over their Machine Learning knowledge to address questions in other scientific domains. Contents: Building up on advanced Machine Learning knowledge, this seminar discusses recent scientific contributions and developments in Machine Learning as well as recent papers on applications of Machine Learning algorithms. Typical application domains include general pattern recognition, computer hearing, computer vision and computational neuroscience. Typical tasks include auditory and visual signal enhancements, source separation, auditory and visual object learning and recognition, auditory scene analysis, data compression and inpainting. Applications to computational neuroscience will discuss recent papers on the probabilistic interpretation of neural learning and biological intelligence. |
Seminar | 2 |
Prof. Dr. Jörg Lücke |
|
| 5.04.4589 |
Angewandte Psychophysik II: Anwendungen im Sound Design
Wednesday: 16:00 - 18:00, weekly (from 14/04/21) Description: Psychoakustische Bewertungs- und Analysemethoden für Untersuchungen der Geräuschqualität und für Sound Design. Messtechniken und Skalen. Überschwellige Empfindungsgrößen wie Tonhaltigkeit, Rauigkeit und Lautheit inklusive Modellierung. Lästigkeit. Kontextvariablen, Berechnungsmethoden und Subjektivurteile. Psychoakustische Bewertungs- und Analysemethoden für Untersuchungen der Geräuschqualität und für Sound Design. Messtechniken und Skalen. Überschwellige Empfindungsgrößen wie Tonhaltigkeit, Rauigkeit und Lautheit inklusive Modellierung. Lästigkeit. Kontextvariablen, Berechnungsmethoden und Subjektivurteile. |
Lecture | 2 |
Prof. Dr. Steven van de Par Dr. Stephan Töpken |
|
| 5.04.4074 |
Computational Fluid Dynamics II
Tuesday: 12:00 - 16:00, weekly (from 01/06/21) Description: Deeper understanding of the fundamental equations of fluid dynamics. Overview of numerical methods for the solution of the fundamental equations of fluid dynamics. Confrontation with complex problems in fluiddynamics. To become acquainted with different, widely used CFD models that are used to study complex problems in fluid dynamics. Ability to apply these CFD models to certain defined problems and to critically evaluate the results of numerical models. Content: CFD II: Introduction to different CFD models, such as OpenFOAM and PALM. Application of these CFD models to defined problems from rotor aerodynamics and the atmospheric boundary layer. Lehrsprache: "This course will be held in English. If no international students should participate, the course language can also be switched to German." Deeper understanding of the fundamental equations of fluid dynamics. Overview of numerical methods for the solution of the fundamental equations of fluid dynamics. Confrontation with complex problems in fluiddynamics. To become acquainted with different, widely used CFD models that are used to study complex problems in fluid dynamics. Ability to apply these CFD models to certain defined problems and to critically evaluate the results of numerical models. Content: CFD II: Introduction to different CFD models, such as OpenFOAM and PALM. Application of these CFD models to defined problems from rotor aerodynamics and the atmospheric boundary layer. Lehrsprache: "This course will be held in English. If no international students should participate, the course language can also be switched to German." |
Lecture | 2 |
Dr. Bernhard Stoevesandt |
|
| 5.04.633 |
Optical Systems
Monday: 12:15 - 13:45, weekly (from 12/04/21) Description: Here is a list of the topics covered in the lecture: Fundamentals of optics and theoretical models of light Ray optics, geometrical optics, validity range and applications Behaviour and properties of EM waves and applications Optical imaging Imaging construction elements Microscopy Colours Set-up and function of selected optical systems for illumination and metrology Optical Fibers Here is a list of the topics covered in the lecture: Fundamentals of optics and theoretical models of light Ray optics, geometrical optics, validity range and applications Behaviour and properties of EM waves and applications Optical imaging Imaging construction elements Microscopy Colours Set-up and function of selected optical systems for illumination and metrology Optical Fibers |
Lecture | - |
Markus Schellenberg |
|
| 5.04.616 Ü2 |
Exercises to Mathematical Methods for Physics and Engineering II
Tuesday: 16:15 - 17:45, weekly (from 20/04/21) Description: |
Exercises | 2 |
Wiebke Middelberg Prof. Dr. Simon Doclo |
|
| 5.04.241Ü6 |
Übung zu Numerische Methoden der Physik/Numerics
Wednesday: 14:00 - 16:00, weekly (from 14/04/21) Description: |
Exercises | 2 |
Yannick Tabot Njami Prof. Dr. Volker Hohmann, Dipl.-Phys. |
|
| 5.04.4064 |
Advanced Solar Energy Meteorology
Tuesday: 14:00 - 16:00, weekly (from 13/04/21) Description: |
Lecture | 2 |
Dr. Detlev Heinemann |
|
| 5.04.4881 |
Advanced Solid State Physics
Tuesday: 12:00 - 14:00, weekly (from 13/04/21) Description: The course follows the book of Bluhm et al. “Electrons in Solids” covering the following topics: • Charge carriers in mesoscopic systems • Interaction of light with solid-state quasi-particles • Quantum computing, qubits and decoherence • Correlated electron systems • Interactions and topology for itinerant electron Topics will be covered by a mix of lectures and student seminar presentations. The course follows the book of Bluhm et al. “Electrons in Solids” covering the following topics: • Charge carriers in mesoscopic systems • Interaction of light with solid-state quasi-particles • Quantum computing, qubits and decoherence • Correlated electron systems • Interactions and topology for itinerant electron Topics will be covered by a mix of lectures and student seminar presentations. |
Seminar | - |
Prof. Dr. Sascha Schäfer |
|
| 5.04.614 |
Electrodynamics and Optics
Monday: 16:00 - 18:00, weekly (from 12/04/21) Wednesday: 12:00 - 14:00, weekly (from 21/04/21) Dates on Tuesday. 13.04.21 14:00 - 16:00 Description: Basics of Electrostatics Matter in an electric field The magnetic field Electrical circuits Motion of charges in electric and magnetic fields Magnetism in matter Induction Electromagnetic waves Light as electromagnetic wave Basics of Electrostatics Matter in an electric field The magnetic field Electrical circuits Motion of charges in electric and magnetic fields Magnetism in matter Induction Electromagnetic waves Light as electromagnetic wave |
Lecture | 4 |
Prof. Dr. Steven van de Par |
|
| 5.04.201a Ü2 |
Exercises to Thermodynamics and Statistics
Thursday: 12:15 - 13:45, weekly (from 22/04/21) Description: |
Exercises | 2 |
Turgut Gezgin Prof. Dr. Niklas Nilius |
|
| 5.04.634 |
Applied Mechanics
Tuesday: 08:00 - 10:00, weekly (from 13/04/21), Vorlesung Description: Lecture from 8 am, s.t. to 10 am s.t. Achieving basic knowledge in applied mechanics, especially in statics and elasticity theory. Content: Static equilibrium (mainly 2D), frame works, friction (Coulomb), Hooke's law (3D including lateral contraction and thermal expansion), bending and torsion with planar cross sections, Mohr's theory Lecture from 8 am, s.t. to 10 am s.t. Achieving basic knowledge in applied mechanics, especially in statics and elasticity theory. Content: Static equilibrium (mainly 2D), frame works, friction (Coulomb), Hooke's law (3D including lateral contraction and thermal expansion), bending and torsion with planar cross sections, Mohr's theory |
Lecture | 2 |
Prof. Dr.-Ing. Florian Schmidt |
|
| 5.04.4215 |
Machine Learning II – Advanced Learning and Inference Methods
Thursday: 10:00 - 12:00, weekly (from 15/04/21) Description: The students will deepen their knowledge on mathematical models of data and sensory signals. Building up on the previously acquired Machine Learning models and methods, the students will be lead closer to current research topics and will learn about models that currently represent the state-of-the-art. Based on these models, the students will be exposed to the typical theoretical and practical challenges in the development of current Machine Learning algorithms. Typical such challenges are analytical and computational intractabilities, or local optima problems. Based on concrete examples, the students will learn how to address such problems. Applications to different data will teach skills to use the appropriate model for a desired task and the ability to interpret an algorithm’s result as well as ways for further improvements. Furthermore, the students will learn interpretations of biological and artificial intelligence based on state-of-the-art Machine Learning models. Contents: This course builds up on the basic models and methods introduced in introductory Machine Learning lectures. Advanced Machine Learning models will be introduced alongside methods for efficient parameter optimization. Analytical approximations for computationally intractable models will be defined and discussed as well as stochastic (Monte Carlo) approximations. Advantages of different approximations will be contrasted with their potential disadvantages. Advanced models in the lecture will include models for clustering, classification, recognition, denoising, compression, dimensionality reduction, deep learning, tracking etc. Typical application domains will be general pattern recognition, computational neuroscience and sensory data models including computer hearing and computer vision. The students will deepen their knowledge on mathematical models of data and sensory signals. Building up on the previously acquired Machine Learning models and methods, the students will be lead closer to current research topics and will learn about models that currently represent the state-of-the-art. Based on these models, the students will be exposed to the typical theoretical and practical challenges in the development of current Machine Learning algorithms. Typical such challenges are analytical and computational intractabilities, or local optima problems. Based on concrete examples, the students will learn how to address such problems. Applications to different data will teach skills to use the appropriate model for a desired task and the ability to interpret an algorithm’s result as well as ways for further improvements. Furthermore, the students will learn interpretations of biological and artificial intelligence based on state-of-the-art Machine Learning models. Contents: This course builds up on the basic models and methods introduced in introductory Machine Learning lectures. Advanced Machine Learning models will be introduced alongside methods for efficient parameter optimization. Analytical approximations for computationally intractable models will be defined and discussed as well as stochastic (Monte Carlo) approximations. Advantages of different approximations will be contrasted with their potential disadvantages. Advanced models in the lecture will include models for clustering, classification, recognition, denoising, compression, dimensionality reduction, deep learning, tracking etc. Typical application domains will be general pattern recognition, computational neuroscience and sensory data models including computer hearing and computer vision. |
Lecture | 2 |
Prof. Dr. Jörg Lücke |
|
| 5.04.4528 |
Computational Biophysics
Wednesday: 12:00 - 14:00, weekly (from 14/04/21) Description: The course will explore physical models and computational approaches used for the simulations of macromolecular systems. A mixture of lectures and hands-on tutorials will serve to provide a roadmap for setting investigations of macro-molecular structure and dynamics at the atomic level of detail. The course is based on practical exercises with the biophysical programs NAMD and VMD. In particular, the case studies of various biological systems will be discussed. Relevant physical concepts, mathematical techniques, and computational methods will be introduced, including force fields and algorithms used in molecular modeling and molecular dynamics on parallel computers The course will explore physical models and computational approaches used for the simulations of macromolecular systems. A mixture of lectures and hands-on tutorials will serve to provide a roadmap for setting investigations of macro-molecular structure and dynamics at the atomic level of detail. The course is based on practical exercises with the biophysical programs NAMD and VMD. In particular, the case studies of various biological systems will be discussed. Relevant physical concepts, mathematical techniques, and computational methods will be introduced, including force fields and algorithms used in molecular modeling and molecular dynamics on parallel computers |
Lecture | - |
Prof. Dr. Ilia Solov'yov |
|
| 5.04.4671 |
Tools in Advanced Photonics
Wednesday: 09:00 - 13:00, weekly (from 14/04/21), Labore HS Emden Description: Teaching and learning in this component will be through "hands on" demonstration. This form of teaching and learning is important in acquiring competence and skills and advancing understanding by practical experience. The students learn to consider specific key instrument types in current usage in the field of photonics, laser and optics. This will be delivered in a lab course study format with each instrument being evaluated in terms of operating principle, design, and signal processing. Content: Laser design and concepts in photonics, solid state lasers, tunable laser systems, gas lasers, industrial laser systems, ultrashort laser systems, diode lasers, optical fiber technology, photonics instrumentation. Teaching and learning in this component will be through "hands on" demonstration. This form of teaching and learning is important in acquiring competence and skills and advancing understanding by practical experience. The students learn to consider specific key instrument types in current usage in the field of photonics, laser and optics. This will be delivered in a lab course study format with each instrument being evaluated in terms of operating principle, design, and signal processing. Content: Laser design and concepts in photonics, solid state lasers, tunable laser systems, gas lasers, industrial laser systems, ultrashort laser systems, diode lasers, optical fiber technology, photonics instrumentation. |
Practical training | 4 |
Hans Josef Brückner Prof. Dr. Walter Neu, Dipl.-Phys. Bert Struve Ulrich Teubner Markus Schellenberg Sabine Tiedeken Volker Braun Stefan Wild Johannes Diekhoff Prof. Dr.-Ing. Thomas Schüning |
|
| 5.04.471Ü1 |
Exercises to Quantum Structure of Matter
Monday: 14:00 - 16:00, weekly (from 19/04/21) Description: |
Exercises | 2 |
Dr. Ana Maria Valencia Garcia Prof. Dr. Caterina Cocchi |
|
| 5.04.667 |
Astrophysical Instrumentation
The course times are not decided yet.
Description: |
Lecture | - |
Prof. Dr.-Ing. Philipp Huke |
|
| 5.04.647 a/b |
Design Fundamentals
Thursday: 09:00 - 11:30, weekly (from 22/04/21), Group A Thursday: 15:00 - 17:30, weekly (from 22/04/21), Group B Description: The course is 2 hours per week taken together in 6 appointments from the second week on. You have to book the desired date of your course via StudIP by checking into "Participants", ticking in the left hand menu "Groups" and proceed with the date of your choice. Get yourself registered by clicking the second button from the right "Become a memeber of group..." (cf. Documents). E.g. a lab project in the morning means group A (recommanded if you don't participate at a language corse) or group C. If you are taking a language course you definetly have to choose group C Aim/ learning outcome: Achieving basic knowledge in reading, understanding and production of technical drawings, getting and overview about the features of CAD-Software, knowing about the basic principles of designing and dimensioning of machine elements. Content: Rules and Standards for Technical Drawings, Design Phases: • Functional requirements, performance specifications • Design methodology • Decision processes • Detailing • Manufacturing Drawings • Grouping of parts Basic Machine Elements: • Frames • Joints • Bearings • Sealing The course is 2 hours per week taken together in 6 appointments from the second week on. You have to book the desired date of your course via StudIP by checking into "Participants", ticking in the left hand menu "Groups" and proceed with the date of your choice. Get yourself registered by clicking the second button from the right "Become a memeber of group..." (cf. Documents). E.g. a lab project in the morning means group A (recommanded if you don't participate at a language corse) or group C. If you are taking a language course you definetly have to choose group C Aim/ learning outcome: Achieving basic knowledge in reading, understanding and production of technical drawings, getting and overview about the features of CAD-Software, knowing about the basic principles of designing and dimensioning of machine elements. Content: Rules and Standards for Technical Drawings, Design Phases: • Functional requirements, performance specifications • Design methodology • Decision processes • Detailing • Manufacturing Drawings • Grouping of parts Basic Machine Elements: • Frames • Joints • Bearings • Sealing |
Lecture | - |
Prof. Dr. Olaf Helms |
|
| 5.04.4663 |
Physics with Intense Laser Pulses
Friday: 11:00 - 15:00, weekly (from 16/04/21) Description: Additionally to the lecture (2 SWS, Friday 12-14, extra time from 14-16 has been arranged because the lecturer is off for two weeks ) lab work will be arranged at HS Emden. The students acquire broad experimental knowledge of the application of intense light from femtosecond and high power laser systems. They should be acquainted with the interaction of intense light with matter in general and with respect to important scientific and technical applications (in industry) such as laser material processing, high field physics (i.e. laser matter interaction at high intensity), laser generated particle and radiation sources of ultrashort duration and/or ultrashort wavelength etc. Content: Femtosecond and high power laser systems and its application, absorption of intense laser light, basics of laser matter interaction at high intensity, diagnostics, applications in micro machining, laser generated ultrashort radiation such as high-order laser harmonics and femtosecond K-alpha-sources and keV and MeV electron and ion sources and their application to micro fabrication micro and nano analysis.; atto physics, strong field physics Additionally to the lecture (2 SWS, Friday 12-14, extra time from 14-16 has been arranged because the lecturer is off for two weeks ) lab work will be arranged at HS Emden. The students acquire broad experimental knowledge of the application of intense light from femtosecond and high power laser systems. They should be acquainted with the interaction of intense light with matter in general and with respect to important scientific and technical applications (in industry) such as laser material processing, high field physics (i.e. laser matter interaction at high intensity), laser generated particle and radiation sources of ultrashort duration and/or ultrashort wavelength etc. Content: Femtosecond and high power laser systems and its application, absorption of intense laser light, basics of laser matter interaction at high intensity, diagnostics, applications in micro machining, laser generated ultrashort radiation such as high-order laser harmonics and femtosecond K-alpha-sources and keV and MeV electron and ion sources and their application to micro fabrication micro and nano analysis.; atto physics, strong field physics |
Lecture | 4 |
Ulrich Teubner |
|
| 5.04.4208 |
Oberseminar Signal- und Sprachverarbeitung
Monday: 10:00 - 12:00, weekly (from 12/04/21) Description: Aktuelle Forschungsarbeiten aus folgenden Gebieten der Signal- und Sprachverarbeitung: Ein- und mehrkanalige Sprachverbesserung, Sensornetzwerke, Sprachmodellierung, Sprachtechnologie, Signalverarbeitung für Hörgeräte und Multimedia. Aktuelle Forschungsarbeiten aus folgenden Gebieten der Signal- und Sprachverarbeitung: Ein- und mehrkanalige Sprachverbesserung, Sensornetzwerke, Sprachmodellierung, Sprachtechnologie, Signalverarbeitung für Hörgeräte und Multimedia. |
Seminar | - |
Prof. Dr. Simon Doclo |
|
| 5.04.4013b |
Current trends in Gravitation II
Tuesday: 16:00 - 18:00, weekly (from 13/04/21) Description: The students get an insight into the current research topics in the field of gravity. They get to know new investigation methods and research results and expand their skills in the critical discussion of scientific methods and results. The students get an insight into the current research topics in the field of gravity. They get to know new investigation methods and research results and expand their skills in the critical discussion of scientific methods and results. |
Seminar | - |
Prof. Dr. Jutta Kunz-Drolshagen PD Dr. Betti Hartmann |
|
| 5.04.241Ü4 |
Übung zu Numerische Methoden der Physik/Numerical
Thursday: 14:00 - 16:00, weekly (from 15/04/21) Description: |
Exercises | 2 |
Nils Brüdigam Prof. Dr. Volker Hohmann, Dipl.-Phys. |
|
| 5.04.4652 |
Stochastic Processes in Experiments
Thursday: 12:00 - 14:00, weekly (from 15/04/21) Description: Die Studierenden erwerben fortgeschrittene Kenntnisse auf dem Gebiet der nichtlinearen Dynamik experimenteller Systeme. Sie erlangen Fertigkeiten zum sicheren und selbstständigen Umgang mit modernen Konzepten und Methoden der Analyse von Messdaten komplexer Systeme. Sie erweitern ihre Kompetenzen hinsichtlich der Fähigkeiten zur erfolgreichen Bearbeitung anspruchsvoller Probleme mit modernen analytischen und numerischen Methoden, zur selbstständigen Erarbeitung aktueller Fachveröffentlichungen sowie der Bedeutung stochastischer Differentialgleichungen im Kontext unterschiedlicher Anwendungen. Inhalte: Theoretische Grundlagen stochastischer Differentialgleichungen und der Bestimmung ihrer Parameter. Darstellung verschiedener Beispiele für die Schätzung der Parameter stochastischer Differentialgleichungen aus experimentellen Daten unter Berücksichtigung der Besonderheiten der jeweils untersuchten experimentellen Systeme. Die Studierenden erwerben fortgeschrittene Kenntnisse auf dem Gebiet der nichtlinearen Dynamik experimenteller Systeme. Sie erlangen Fertigkeiten zum sicheren und selbstständigen Umgang mit modernen Konzepten und Methoden der Analyse von Messdaten komplexer Systeme. Sie erweitern ihre Kompetenzen hinsichtlich der Fähigkeiten zur erfolgreichen Bearbeitung anspruchsvoller Probleme mit modernen analytischen und numerischen Methoden, zur selbstständigen Erarbeitung aktueller Fachveröffentlichungen sowie der Bedeutung stochastischer Differentialgleichungen im Kontext unterschiedlicher Anwendungen. Inhalte: Theoretische Grundlagen stochastischer Differentialgleichungen und der Bestimmung ihrer Parameter. Darstellung verschiedener Beispiele für die Schätzung der Parameter stochastischer Differentialgleichungen aus experimentellen Daten unter Berücksichtigung der Besonderheiten der jeweils untersuchten experimentellen Systeme. |
Seminar | 2 |
Dr. Matthias Wächter, Dipl.-Phys. |
|
| 5.04.4681 |
Seminar zur Diskussion aktueller Fragestellungen zur Kopplung von Licht und Materie in optischen Mikrokavitäten
Monday: 10:00 - 12:00, weekly (from 12/04/21) Description: Aneignen vertiefter Kenntnisse auf dem Feld der Licht-Materie Wechselwirkung sowie der Kavitäts-Quantenelektrodynamik mit Quantenmaterialien. Es werden Kenntnisse der grundlegenden, und der kontemporären Fachliteratur im Rahmen von gezielten Diskussionen von- und Arbeiten mit Wissenschaftsartikeln erarbeitet: Vorträge vor der Gruppe, offene Diskussion aktueller Themen, Analyse wissenschaftlichen Arbeitens. Aneignen vertiefter Kenntnisse auf dem Feld der Licht-Materie Wechselwirkung sowie der Kavitäts-Quantenelektrodynamik mit Quantenmaterialien. Es werden Kenntnisse der grundlegenden, und der kontemporären Fachliteratur im Rahmen von gezielten Diskussionen von- und Arbeiten mit Wissenschaftsartikeln erarbeitet: Vorträge vor der Gruppe, offene Diskussion aktueller Themen, Analyse wissenschaftlichen Arbeitens. |
Seminar | - |
Prof. Dr. Christian Schneider |
|
| 5.04.1001 |
Introduction to High-Performance Computing
Wednesday: 16:00 - 18:00, weekly (from 14/04/21) Description: |
Lecture | 2 |
Dr. Stefan Harfst |
|
| 5.04.6611 |
Advanced Optical Spectroscopy
Tuesday: 12:15 - 13:45, weekly (from 13/04/21) Description: This course is parallel with the seminar "Modern Methods in Optical Microscopy" (depending on the amount of participants) which counts for phy631 Advanced Metroloy . Examination: presentation in each part. Organizstion and material: please subscribe in 5.04.6610 Seminar: Modern Methods in Optical Microscopy This course is parallel with the seminar "Modern Methods in Optical Microscopy" (depending on the amount of participants) which counts for phy631 Advanced Metroloy . Examination: presentation in each part. Organizstion and material: please subscribe in 5.04.6610 Seminar: Modern Methods in Optical Microscopy |
Seminar | - |
Dr. rer. nat. Sandra Koch Prof. Dr. Walter Neu, Dipl.-Phys. Markus Schellenberg |
|
| 5.04.654 |
Hyperloop Systems
Monday: 14:15 - 15:45, weekly (from 12/04/21), weekly Seminar Dates on Monday. 12.04.21, Monday. 26.04.21, Monday. 03.05.21, Monday. 10.05.21, Monday. 17.05.21, Monday. 31.05.21 18:00 - 19:00 Description: This is the Bachelor course. The Module "Hyperloop Systems" is recommended for 3rd Semester students and above, although there are also some projects for earlier semesters available. For the Master course search for "Advanced Hyperloop Studies". The first meeting takes place by arrangement via mail. The communication takes place virtually. The Vacuum Transport Research Seminar will take place from 12.04.2021 (https://www.vacuumtransport.org). This is the Bachelor course. The Module "Hyperloop Systems" is recommended for 3rd Semester students and above, although there are also some projects for earlier semesters available. For the Master course search for "Advanced Hyperloop Studies". The first meeting takes place by arrangement via mail. The communication takes place virtually. The Vacuum Transport Research Seminar will take place from 12.04.2021 (https://www.vacuumtransport.org). |
Practical training | 4 |
Prof. Dr. Walter Neu, Dipl.-Phys. Prof. Dr.-Ing. Thomas Schüning |
|
| 5.04.4073 |
Interdisciplinary Topics in Fluid Dynamics
Wednesday: 10:00 - 12:00, weekly (from 14/04/21) Description: This seminar is part of the meeting of the group „Computational Fluid Dynamics for Wind Physics“. We discuss current research topics with respect to differences and similarities in the approaches and tools. This seminar combines topics in wind energy research from the areas of data analysis and stochastics, Computational Fluid Dynamics Simulations and Meteorology. This seminar is part of the meeting of the group „Computational Fluid Dynamics for Wind Physics“. We discuss current research topics with respect to differences and similarities in the approaches and tools. This seminar combines topics in wind energy research from the areas of data analysis and stochastics, Computational Fluid Dynamics Simulations and Meteorology. |
Seminar | 2 |
Prof. Dr. Laura Lukassen |
|
| 5.04.656 |
Seminar Fortgeschrittene Themen in EP / Advanced Topics in EP
Thursday: 08:15 - 09:45, weekly (from 15/04/21) Description: Participation: 1st -3rd semester. Presentation: Master thesis work in progress or finished; at least one successfully completed specialization module. Bachelor students are welcome as well. Participation: 1st -3rd semester. Presentation: Master thesis work in progress or finished; at least one successfully completed specialization module. Bachelor students are welcome as well. |
Seminar | 2 |
Iván Herráez |
|
| 5.04.614 Ü2 |
Exercises to Electrodynamics and Optics
Tuesday: 14:00 - 16:00, weekly (from 20/04/21) Description: Basics of Electrostatics Matter in an electric field The magnetic field Electrical circuits Motion of charges in electric and magnetic fields Magnetism in matter Induction Electromagnetic waves Light as electromagnetic wave Basics of Electrostatics Matter in an electric field The magnetic field Electrical circuits Motion of charges in electric and magnetic fields Magnetism in matter Induction Electromagnetic waves Light as electromagnetic wave |
Exercises | 2 |
Prof. Dr. Steven van de Par Dr. Jinhui Zhong |
|
| 5.04.642 |
Electronics
Monday: 08:15 - 11:45, weekly (from 12/04/21) Description: The following topics will be covered during the course: - fundamentals of electricity - charges, current, voltage, Ohm's law, power - fundamental laws of direct current circuits - Kirchhoff's laws, voltage & current sources, simplification of circuits - major electronic components - resistors, capacitors, diodes, transistors - operational amplifiers & filters - op-amp basics, op-amp operating modes, passive filters, active filters During the course numerous projects will be developed by the students. The lecture implements a teaching concept similar to "inverted classroom", where students are provided with a range of learning materials (instructional videos, exercises, etc.), which they have to work through at home or in a team with other students. During the actual lecture, questions and exercises are discussed between lecturer and students. At the end of the course, students are able to plan, simulate and build simple electronic circuits. They are familiar with the fundamental laws of electricity, they know about major electronic components and how to use them properly. Also, they understand the concept of filters and are able to design and implement a filter circuit. The following topics will be covered during the course: - fundamentals of electricity - charges, current, voltage, Ohm's law, power - fundamental laws of direct current circuits - Kirchhoff's laws, voltage & current sources, simplification of circuits - major electronic components - resistors, capacitors, diodes, transistors - operational amplifiers & filters - op-amp basics, op-amp operating modes, passive filters, active filters During the course numerous projects will be developed by the students. The lecture implements a teaching concept similar to "inverted classroom", where students are provided with a range of learning materials (instructional videos, exercises, etc.), which they have to work through at home or in a team with other students. During the actual lecture, questions and exercises are discussed between lecturer and students. At the end of the course, students are able to plan, simulate and build simple electronic circuits. They are familiar with the fundamental laws of electricity, they know about major electronic components and how to use them properly. Also, they understand the concept of filters and are able to design and implement a filter circuit. |
Lecture | - |
Prof. Dr. Andreas Haja |
|
| 5.06.999 |
PPRE - Special appointments
Friday: 13:15 - 17:45, weekly (from 16/04/21), RE Institutions Dates on Friday. 23.04.21, Friday. 21.05.21, Friday. 18.06.21 14:00 - 16:00 Description: for Special Appointments in PPRE: Introduction, preparation graduation, excursion, etc. / invited guest lectures / career service / etc. Takes only place after specific announcement! for Special Appointments in PPRE: Introduction, preparation graduation, excursion, etc. / invited guest lectures / career service / etc. Takes only place after specific announcement! |
miscellaneous | - |
Eduard Knagge, Dipl.-Ing. Hans-Gerhard Holtorf, PhD Andreas Günther Dr. Herena Torio Cuauhtemoc Adrian Jimenez Martinez Dr. Martin Knipper |
|
| 5.04.4074 Ü1 |
Exercises to Computational Fluid Dynamics II
Thursday: 16:00 - 18:00, weekly (from 03/06/21) Description: |
Exercises | 1 |
Gabriele Centurelli Dr. Bernhard Stoevesandt |
|
| 5.04.4243 b |
Python Programming in Energy Science II
Wednesday: 10:00 - 12:00, weekly (from 21/04/21) Description: |
Lecture | - |
Dr. Jonas Schmidt Dr. Hassan Kassem Dr. Lukas Vollmer Dr. Martin Dörenkämper |
|
| 5.04.4675 |
Optical Simulation and Modelling (Zemax)
Friday: 09:00 - 11:00, weekly (from 16/04/21) Description: Lecture and project. The lecture time can be shifted according if wanted. Lecture and project. The lecture time can be shifted according if wanted. |
Lecture | 2 |
Prof. Dr. Walter Neu, Dipl.-Phys. |
|
| 5.06.M209 |
Photovoltaic Systems
Thursday: 12:15 - 15:45, weekly (from 03/06/21), The seminar part related to Photovoltaic Systems Description: |
Seminar | 4 |
Hans-Gerhard Holtorf, PhD Dr. Martin Knipper |
|
| 5.04.233a |
Measurement Technology
Friday: 10:00 - 12:00, weekly (from 16/04/21) Description: |
Lecture | 2 |
Prof. Dr. Bernd Meyer |
|
| 5.04.4072 |
Computational Fluid Dynamics I
Tuesday: 12:00 - 14:00, weekly (from 13/04/21) Description: Deeper understanding of the fundamental equations of fluid dynamics. Overview of numerical methods for the solution of the fundamental equations of fluid dynamics. Confrontation with complex problems in fluiddynamics. To become acquainted with different, widely used CFD models that are used to study complex problems in fluid dynamics. Ability to apply these CFD models to certain defined problems and to critically evaluate the results of numerical models. Content: CFD I: The Navier-Stokes equations, filtering / averaging of Navier- Stokes equations, introduction to numerical methods, finite- differences, finite-volume methods, linear equation systems, NS-solvers, RANS, URANS, LES, DNS, turbulent flows, incompressible flows, compressible flows, efficiency and accuracy. Deeper understanding of the fundamental equations of fluid dynamics. Overview of numerical methods for the solution of the fundamental equations of fluid dynamics. Confrontation with complex problems in fluiddynamics. To become acquainted with different, widely used CFD models that are used to study complex problems in fluid dynamics. Ability to apply these CFD models to certain defined problems and to critically evaluate the results of numerical models. Content: CFD I: The Navier-Stokes equations, filtering / averaging of Navier- Stokes equations, introduction to numerical methods, finite- differences, finite-volume methods, linear equation systems, NS-solvers, RANS, URANS, LES, DNS, turbulent flows, incompressible flows, compressible flows, efficiency and accuracy. |
Lecture | - |
Prof. Dr. Laura Lukassen |
|
| 5.04.241Ü1 |
Übung zu Numerische Methoden der Physik / Numerics
Thursday: 12:00 - 14:00, weekly (from 15/04/21) Description: |
Exercises | 2 |
M. Sc. Jana Roßbach Prof. Dr. Volker Hohmann, Dipl.-Phys. |
|
| 5.06.M201 Ü |
Sustainability of Renewable Energy
Thursday: 14:15 - 15:45, weekly (from 15/04/21) Description: Content: - Introduction to the term sustainability - Strategies and dimensions in sustainability research and discussion: efficiency, consistency and sufficiency, as well as related concepts (e.g. rebound) - Growth/De-growth and decoupling of growth and emission - Life-cycle analysis - Thermodynamic methods: exergy, EROI and related approaches - Social indicators and their relation to energy use - Economic indicators and related paradigms in the context of energy consumption - Case study on the real life renewable energy project DESERTEC After successful completion of the seminar students should be able to: - analyse, and critically compare and evaluate selected sustainability concepts and strategies addressing renewable energy systems - critically appraise and analyse the principles and implications of selected scientific methods and theories for a sustainable energy supply - critically evaluate the suitability and meaningfulness of different sustainability indicators, theories, methods and practices regarding their role and impact for developed countries, on the one hand, and developing countries, on the other - perform an integral assessment, involving several relevant aspects related to the sustainability of a particular real-life renewable energy project as well as identify the main barriers, potentials and driving factors for improving it - perform a literature review on selected sustainability approaches to a professional standard and extract the main related conclusions, and arguing critically on them - present data and information both verbally and in the written form, including quotation to a professional standard Content: - Introduction to the term sustainability - Strategies and dimensions in sustainability research and discussion: efficiency, consistency and sufficiency, as well as related concepts (e.g. rebound) - Growth/De-growth and decoupling of growth and emission - Life-cycle analysis - Thermodynamic methods: exergy, EROI and related approaches - Social indicators and their relation to energy use - Economic indicators and related paradigms in the context of energy consumption - Case study on the real life renewable energy project DESERTEC After successful completion of the seminar students should be able to: - analyse, and critically compare and evaluate selected sustainability concepts and strategies addressing renewable energy systems - critically appraise and analyse the principles and implications of selected scientific methods and theories for a sustainable energy supply - critically evaluate the suitability and meaningfulness of different sustainability indicators, theories, methods and practices regarding their role and impact for developed countries, on the one hand, and developing countries, on the other - perform an integral assessment, involving several relevant aspects related to the sustainability of a particular real-life renewable energy project as well as identify the main barriers, potentials and driving factors for improving it - perform a literature review on selected sustainability approaches to a professional standard and extract the main related conclusions, and arguing critically on them - present data and information both verbally and in the written form, including quotation to a professional standard |
Exercises | 2 |
Dr. Herena Torio |
|
| 5.04.4072 Ü1 |
Exercises to Computational Fluid Dynamics I
Thursday: 16:00 - 18:00, weekly (from 22/04/21) Description: |
Exercises | - |
Gabriele Centurelli Prof. Dr. Laura Lukassen Arslan Adeel-Ur-Rehman |
|
| 5.04.4226 |
Artificial Intelligence, Biological Intelligence and Learning
Thursday: 10:00 - 12:00, weekly (from 15/04/21) Description: |
Seminar | 2 |
Prof. Dr. Jörg Lücke Dr Jörn Anemüller |
|
| 5.04.232a Ü2 |
Exercise to Signal Processing
Monday: 14:00 - 16:00, fortnightly (from 26/04/21) Description: |
Exercises | 1 |
TutorInnen, der Physik Prof. Dr. Bernd Meyer |
|
| 5.06.M205 |
Laboratory: Performance of Renewable Energy
Friday: 13:00 - 18:00, weekly (from 16/04/21) Description: |
Practical training | - |
Andreas Günther Cuauhtemoc Adrian Jimenez Martinez Dr. Herena Torio Dr. Martin Knipper |
|
| 5.06.M211 |
Solar Energy Meteorology Applications
Wednesday: 16:15 - 17:45, weekly (from 21/04/21) Description: Lecturer from Fraunhofer Institute for Solar Energy Systems (ISE) The lecture addresses applications of solar energy meteorology. As a basis, most important physical laws for solar energy meteorology as well as models for solar resource assessment and forecasting are introduced. A special emphasis will be on evaluation concepts and applications. The students will learn about: • requirements for solar resource data from different applications • models and measurement devices for solar resource assessment and forecasting • benefits and drawbacks of different models • methods to assess the quality of solar resource data The lectures are combined with short exercises. In the last - seminar type - part of the course the students are asked to get a better understanding of lessons learnt by studying and presenting publications related to solar energy meteorology. Lecturer from Fraunhofer Institute for Solar Energy Systems (ISE) The lecture addresses applications of solar energy meteorology. As a basis, most important physical laws for solar energy meteorology as well as models for solar resource assessment and forecasting are introduced. A special emphasis will be on evaluation concepts and applications. The students will learn about: • requirements for solar resource data from different applications • models and measurement devices for solar resource assessment and forecasting • benefits and drawbacks of different models • methods to assess the quality of solar resource data The lectures are combined with short exercises. In the last - seminar type - part of the course the students are asked to get a better understanding of lessons learnt by studying and presenting publications related to solar energy meteorology. |
Lecture | 2 |
Dr. Elke Lorenz |
|
| 5.04.4215 Ü1 |
Exercises to Machine Learning II – Advanced Learning and Inference Methods
Tuesday: 14:00 - 16:00, weekly (from 13/04/21), Übung Description: The students will deepen their knowledge on mathematical models of data and sensory signals. Building up on the previously acquired Machine Learning models and methods, the students will be lead closer to current research topics and will learn about models that currently represent the state-of-the-art. Based on these models, the students will be exposed to the typical theoretical and practical challenges in the development of current Machine Learning algorithms. Typical such challenges are analytical and computational intractabilities, or local optima problems. Based on concrete examples, the students will learn how to address such problems. Applications to different data will teach skills to use the appropriate model for a desired task and the ability to interpret an algorithm’s result as well as ways for further improvements. Furthermore, the students will learn interpretations of biological and artificial intelligence based on state-of-the-art Machine Learning models. Contents: This course builds up on the basic models and methods introduced in introductory Machine Learning lectures. Advanced Machine Learning models will be introduced alongside methods for efficient parameter optimization. Analytical approximations for computationally intractable models will be defined and discussed as well as stochastic (Monte Carlo) approximations. Advantages of different approximations will be contrasted with their potential disadvantages. Advanced models in the lecture will include models for clustering, classification, recognition, denoising, compression, dimensionality reduction, deep learning, tracking etc. Typical application domains will be general pattern recognition, computational neuroscience and sensory data models including computer hearing and computer vision. The students will deepen their knowledge on mathematical models of data and sensory signals. Building up on the previously acquired Machine Learning models and methods, the students will be lead closer to current research topics and will learn about models that currently represent the state-of-the-art. Based on these models, the students will be exposed to the typical theoretical and practical challenges in the development of current Machine Learning algorithms. Typical such challenges are analytical and computational intractabilities, or local optima problems. Based on concrete examples, the students will learn how to address such problems. Applications to different data will teach skills to use the appropriate model for a desired task and the ability to interpret an algorithm’s result as well as ways for further improvements. Furthermore, the students will learn interpretations of biological and artificial intelligence based on state-of-the-art Machine Learning models. Contents: This course builds up on the basic models and methods introduced in introductory Machine Learning lectures. Advanced Machine Learning models will be introduced alongside methods for efficient parameter optimization. Analytical approximations for computationally intractable models will be defined and discussed as well as stochastic (Monte Carlo) approximations. Advantages of different approximations will be contrasted with their potential disadvantages. Advanced models in the lecture will include models for clustering, classification, recognition, denoising, compression, dimensionality reduction, deep learning, tracking etc. Typical application domains will be general pattern recognition, computational neuroscience and sensory data models including computer hearing and computer vision. |
Exercises | 2 |
Prof. Dr. Jörg Lücke |
|
| 5.04.4667 |
Biophotonics and Spectroscopy
Tuesday: 08:00 - 10:00, weekly (from 13/04/21) Description: Application of atomic and molecular spectroscopy at a wide range of fields, e.g. industrial, biosciences, microscopy, pharmaceutical, environmental, trace analysis: 1. Explain the mechanisms of and fundamental distinctions between molecular and atomic spectroscopy 2. Recognise the issues regarding sensitivity and selectivity of molecular and atomic spectroscopy 3. Evaluate the limitations and analytical issues associated with each method 3. Demonstrate analytical application of these atomic and molecular absorption and emission techniques 4. Discriminate the analytical challenges that can be appropriately solved by these spectroscopic techniques Application of atomic and molecular spectroscopy at a wide range of fields, e.g. industrial, biosciences, microscopy, pharmaceutical, environmental, trace analysis: 1. Explain the mechanisms of and fundamental distinctions between molecular and atomic spectroscopy 2. Recognise the issues regarding sensitivity and selectivity of molecular and atomic spectroscopy 3. Evaluate the limitations and analytical issues associated with each method 3. Demonstrate analytical application of these atomic and molecular absorption and emission techniques 4. Discriminate the analytical challenges that can be appropriately solved by these spectroscopic techniques |
Lecture | - |
Prof. Dr. Walter Neu, Dipl.-Phys. |
|
| 5.04.241Ü5 |
Übung zu Numerische Methoden der Physik/Numerics
Wednesday: 14:00 - 16:00, weekly (from 14/04/21) Description: |
Exercises | 2 |
Prof. Dr. Volker Hohmann, Dipl.-Phys. Hazal Karakus |
|
| 5.04.4880 |
Ultrafast Electron Imaging
Thursday: 08:00 - 10:00, weekly (from 15/04/21) Description: The seminar is organized as a paper club including seminal or recent publication on the following topics: • Instrumental aspects of pulsed electron sources • Imaging of ultrafast structural dynamics by time-resolved electron diffraction • Imaging of ultrafast magnetic dynamics by time-resolved Lorentz microscopy • Coherent phase control of free-electron pulses and mapping of polariton dynamics The seminar is organized as a paper club including seminal or recent publication on the following topics: • Instrumental aspects of pulsed electron sources • Imaging of ultrafast structural dynamics by time-resolved electron diffraction • Imaging of ultrafast magnetic dynamics by time-resolved Lorentz microscopy • Coherent phase control of free-electron pulses and mapping of polariton dynamics |
Seminar | - |
Prof. Dr. Sascha Schäfer |
|
| 5.04.201a Ü3 |
Exercises to Thermodynamics and Statistics
Friday: 16:15 - 17:45, weekly (from 23/04/21) Description: |
Exercises | 2 |
NGOC TRUNG NGUYEN Prof. Dr. Niklas Nilius |
|
| 5.04.4234 |
Wind Physics Measurement Project
Monday: 12:15 - 13:45, weekly (from 14/04/21) Description: Case study like problems based on real wind data will be solved on at least four important aspects in wind physics. The course will comprise lectures and assignments as well as self-contained work in groups of 3 persons. The content consist of the following four main topics, following the chronological order of the work process: Data handling: - measurements - measurement technology - handling of wind data - assessment of measurement artefacts in wind data - preparation of wind data for further processing Energy Meteorology: - geographical distribution of winds - wind regimes on different time and length scales - vertical wind profile - distribution of wind speed - differences between onshore and offshore conditions. Measure – Correlate – Predict (MCP): - averaging of wind data - bin-wise averaging of wind data - long term correlation and long term correction of wind data - sources of long term wind data. LIDAR (Light detection and ranging): - analyses and conversion of data from LIDAR measurements Case study like problems based on real wind data will be solved on at least four important aspects in wind physics. The course will comprise lectures and assignments as well as self-contained work in groups of 3 persons. The content consist of the following four main topics, following the chronological order of the work process: Data handling: - measurements - measurement technology - handling of wind data - assessment of measurement artefacts in wind data - preparation of wind data for further processing Energy Meteorology: - geographical distribution of winds - wind regimes on different time and length scales - vertical wind profile - distribution of wind speed - differences between onshore and offshore conditions. Measure – Correlate – Predict (MCP): - averaging of wind data - bin-wise averaging of wind data - long term correlation and long term correction of wind data - sources of long term wind data. LIDAR (Light detection and ranging): - analyses and conversion of data from LIDAR measurements |
Lecture | - |
Prof. Dr. Martin Kühn Dr. Detlev Heinemann Dr. Matthias Wächter, Dipl.-Phys. Prof. Dr. Joachim Peinke Dipl.-Ing. Andreas Hermann Schmidt |
|
| 5.04.4990 |
Women in philosophy and physics
Monday: 14:30 - 16:00, weekly (from 12/04/21) Dates on Monday. 10.05.21 14:30 - 16:00 Description: The aim is to broaden the knowledge about physics and phi-losophy and how they intertwine using exemplarily the contri-butions of female philosophers and physicist from antiquity to modern times. Moreover, we would like to demonstrate how the paths of life of women have been and are still influenced by social norms and how women over-came these norms and became role models for both their contemporaries as well as future generations. The aim is to broaden the knowledge about physics and phi-losophy and how they intertwine using exemplarily the contri-butions of female philosophers and physicist from antiquity to modern times. Moreover, we would like to demonstrate how the paths of life of women have been and are still influenced by social norms and how women over-came these norms and became role models for both their contemporaries as well as future generations. |
Seminar | - |
PD Dr. Betti Hartmann Dr. phil. Carla Schriever |
|
| 5.04.4239 |
Wind Physics Students` Laboratory- Wind Turbine Rotor in Turbulent Inflow
Tuesday: 08:00 - 12:00, weekly (from 20/04/21) Description: The “Wind Physics Student's Lab" aims to foster the learning process by own research activities of the students in wind physics and additionally to build up skills for scientific and experimental work and scientific writing. Therefore, this course is also intended as preparation for the master thesis. The course is organized as seminar with integrated work in the laboratory. The students will investigate an individual, self-formulated research question and will be guided by the supervisors through the research-based learning process. The work in groups and discussion of solutions aims to improve skills in team working. In order to introduce the students to current wind energy research, the course is offered in different versions. These versions represent the work of different research groups at ForWind -University Oldenburg. The seminars will be offered in subsequent semesters or in parallel. The seminar “Wind turbine rotor in turbulent inflow" is connected to the scientific work of the research group Turbulence, Wind Energy and Stochastics (TWIST). In this seminar, turbulent wind fields and their effects on wind turbines will be investigated. Students learn to measure wind flows in high resolutions and how turbulence can be described, investigated and evaluated for different purposes. The students gain a deep understanding of the phenomenon of turbulence. They perform own experiments in a wind tunnel with an active turbulence grid. They learn to establish their own research questions and are encouraged to develop own methods. The seminar consists of three main phases: 1st phase: Preparational learning • building up basic competences • introduction to current research • practical measurements of flows with different sensors in the wind tunnel • evaluation methods of data of turbulent wind flows 2nd phase: Research-based learning • defining own research questions • defining an experimental strategy • planning the experiment • set-up, execution, data acquisition and decommissioning of experiments 3rd phase: Evaluation and documentation • evaluating the experiments • documentation with a short report (paper) • presentation. The “Wind Physics Student's Lab" aims to foster the learning process by own research activities of the students in wind physics and additionally to build up skills for scientific and experimental work and scientific writing. Therefore, this course is also intended as preparation for the master thesis. The course is organized as seminar with integrated work in the laboratory. The students will investigate an individual, self-formulated research question and will be guided by the supervisors through the research-based learning process. The work in groups and discussion of solutions aims to improve skills in team working. In order to introduce the students to current wind energy research, the course is offered in different versions. These versions represent the work of different research groups at ForWind -University Oldenburg. The seminars will be offered in subsequent semesters or in parallel. The seminar “Wind turbine rotor in turbulent inflow" is connected to the scientific work of the research group Turbulence, Wind Energy and Stochastics (TWIST). In this seminar, turbulent wind fields and their effects on wind turbines will be investigated. Students learn to measure wind flows in high resolutions and how turbulence can be described, investigated and evaluated for different purposes. The students gain a deep understanding of the phenomenon of turbulence. They perform own experiments in a wind tunnel with an active turbulence grid. They learn to establish their own research questions and are encouraged to develop own methods. The seminar consists of three main phases: 1st phase: Preparational learning • building up basic competences • introduction to current research • practical measurements of flows with different sensors in the wind tunnel • evaluation methods of data of turbulent wind flows 2nd phase: Research-based learning • defining own research questions • defining an experimental strategy • planning the experiment • set-up, execution, data acquisition and decommissioning of experiments 3rd phase: Evaluation and documentation • evaluating the experiments • documentation with a short report (paper) • presentation. |
Seminar | - |
Dipl.-Ing. Andreas Hermann Schmidt Prof. Dr. Martin Kühn Dr. Detlev Heinemann Prof. Dr. Joachim Peinke |
|
| 5.04.4242 |
Selected Topics on Medical Radiation Physics
Friday: 12:00 - 14:00, weekly (from 16/04/21) Description: Neben den aktuellen Themen der Strahlenphysik (wie IMRT, NMR, PET, SPECT usw.) erlernen die Studierenden den Umgang mit meist englischsprachigen Fachzeitschriften aus dem Bereich. Darüber hinaus werden Präsentationstechniken durch eigene Vorträge erlernt. Parallel zu der Veranstaltung wird die Verwendung eines Monte-Carlo Strahlungstransport-Codes (EGS) erlernt und somit die Fähigkeit vertieft, komplexe physikalische Modelle in eine Software umzusetzen. Neben den aktuellen Themen der Strahlenphysik (wie IMRT, NMR, PET, SPECT usw.) erlernen die Studierenden den Umgang mit meist englischsprachigen Fachzeitschriften aus dem Bereich. Darüber hinaus werden Präsentationstechniken durch eigene Vorträge erlernt. Parallel zu der Veranstaltung wird die Verwendung eines Monte-Carlo Strahlungstransport-Codes (EGS) erlernt und somit die Fähigkeit vertieft, komplexe physikalische Modelle in eine Software umzusetzen. |
Seminar | - |
Prof. Dr. Björn Poppe Dr. rer. nat. Andreas Schönfeld Dr. rer. nat. Daniela Poppinga |
|
| 5.06.M201 |
Sustainability of Renewable Energy
Thursday: 08:15 - 11:45, weekly (from 15/04/21) Description: The module “Sustainability of RE Systems” provides the theoretical background for understanding main concepts and interdisciplinary scientific methods from the context as well as their role in the sustainability debate. Main topics and methods which are focus of the course are: - Strategies and dimensions in sustainability research and discussion: efficiency, consistency and sufficiency, as well as related concepts (e.g. rebound) - Growth/De-growth and decoupling of growth and emission - Life-cycle analysis - Thermodynamic methods: exergy, EROI and related approaches - Social indicators and their relation to energy use - Economic indicators and related paradigms in the context of energy consumption - Resilience and its operationalisation for energy systems - Methods for developing and assess socio-technical scenarios After successful completion of the module students should be able to: - analyse, and critically compare and evaluate selected sustainability concepts and strategies addressing renewable energy systems - critically appraise and analyse the principles and implications of selected scientific methods and theories for a sustainable energy supply - critically evaluate the suitability and meaningfulness of different sustainability indicators, theories, methods and practices regarding their role and impact for developed countries, on the one hand, and developing countries, on the other - perform an integral assessment, involving several relevant aspects related to the sustainability of a particular real-life renewable energy project as well as identify the main barriers, potentials and driving factors for improving it - perform a literature review on selected sustainability approaches to a professional standard and extract the main related conclusions, and arguing critically on them - present data and information both verbally and in the written form, including quotation to a professional standard The module “Sustainability of RE Systems” provides the theoretical background for understanding main concepts and interdisciplinary scientific methods from the context as well as their role in the sustainability debate. Main topics and methods which are focus of the course are: - Strategies and dimensions in sustainability research and discussion: efficiency, consistency and sufficiency, as well as related concepts (e.g. rebound) - Growth/De-growth and decoupling of growth and emission - Life-cycle analysis - Thermodynamic methods: exergy, EROI and related approaches - Social indicators and their relation to energy use - Economic indicators and related paradigms in the context of energy consumption - Resilience and its operationalisation for energy systems - Methods for developing and assess socio-technical scenarios After successful completion of the module students should be able to: - analyse, and critically compare and evaluate selected sustainability concepts and strategies addressing renewable energy systems - critically appraise and analyse the principles and implications of selected scientific methods and theories for a sustainable energy supply - critically evaluate the suitability and meaningfulness of different sustainability indicators, theories, methods and practices regarding their role and impact for developed countries, on the one hand, and developing countries, on the other - perform an integral assessment, involving several relevant aspects related to the sustainability of a particular real-life renewable energy project as well as identify the main barriers, potentials and driving factors for improving it - perform a literature review on selected sustainability approaches to a professional standard and extract the main related conclusions, and arguing critically on them - present data and information both verbally and in the written form, including quotation to a professional standard |
Lecture | 4 |
Dr. Herena Torio |
|
| 5.04.4669 Ü |
Übung zu Workshop Management
Friday: 10:00 - 12:00, weekly (from 16/04/21) Description: Students are able to organize summer schools, workshops, events, etc.. Students are able to organize summer schools, workshops, events, etc.. |
Exercises | - |
Prof. Dr.-Ing. Philipp Huke |
|
| 5.04.4235 |
Design of Wind Energy Systems
Tuesday: 16:00 - 18:00, weekly (from 13/04/21) Thursday: 12:00 - 14:00, weekly (from 15/04/21) Description: The students attending the course will have the possibility to expand and sharpen of their knowledge about wind turbine design from the basic courses. The lectures include topics covering the whole spectrum from early design phase to the operation of a wind turbine. Students will learn in exercises how to calculate and evaluate design aspects of wind energy converters. At the end of the lecture, they should be able to: + estimate the site specific energy yield, + calculate the aerodynamics of wind turbines using the blade element momentum theory, + model wind fields to obtain specific design situations for wind turbines, + estimate the influence of dynamics of a wind turbine, especially in the context of fatigue loads, + transfer their knowledge to more complex topics such as simulation and measurements of dynamic loads, + calculate the economic aspects of wind turbines. Introduction to industrial wind turbine design, + rotor aerodynamics and Blade Element Momentum (BEM) theory, + dynamic loading and system dynamics, + wind field modelling for fatigue and extreme event loading, + design loads and design aspects of onshore wind turbines, + simulation and measurements of dynamic loads, + design of offshore wind turbines, + power quality and grid integration on wind turbines. The students attending the course will have the possibility to expand and sharpen of their knowledge about wind turbine design from the basic courses. The lectures include topics covering the whole spectrum from early design phase to the operation of a wind turbine. Students will learn in exercises how to calculate and evaluate design aspects of wind energy converters. At the end of the lecture, they should be able to: + estimate the site specific energy yield, + calculate the aerodynamics of wind turbines using the blade element momentum theory, + model wind fields to obtain specific design situations for wind turbines, + estimate the influence of dynamics of a wind turbine, especially in the context of fatigue loads, + transfer their knowledge to more complex topics such as simulation and measurements of dynamic loads, + calculate the economic aspects of wind turbines. Introduction to industrial wind turbine design, + rotor aerodynamics and Blade Element Momentum (BEM) theory, + dynamic loading and system dynamics, + wind field modelling for fatigue and extreme event loading, + design loads and design aspects of onshore wind turbines, + simulation and measurements of dynamic loads, + design of offshore wind turbines, + power quality and grid integration on wind turbines. |
Lecture | 2 |
Prof. Dr. Martin Kühn |
|
| 5.04.241Ü3 |
Übung zu Numerische Methoden der Physik / Numerics
Thursday: 14:00 - 16:00, weekly (from 15/04/21) Description: |
Exercises | 2 |
Chinmay Chandratre Prof. Dr. Volker Hohmann, Dipl.-Phys. |
|
| 5.04.232a |
Signal Processing
Wednesday: 10:00 - 12:00, weekly (from 14/04/21) Description: |
Lecture | 2 |
Prof. Dr. Bernd Meyer |
|
| 5.04.4679 |
Advanced Hyperloop Studies
Monday: 14:00 - 16:00, weekly (from 12/04/21), weekly Seminar Dates on Monday. 12.04.21, Monday. 26.04.21, Monday. 03.05.21, Monday. 10.05.21, Monday. 17.05.21, Monday. 31.05.21 18:00 - 19:00 Description: This is the Master's event. The first meeting takes place by arrangement via mail. The communication takes place virtually. The Vacuum Transport Research Seminar will take place from 12.04.2021 (https://www.vacuumtransport.org). This is the Master's event. The first meeting takes place by arrangement via mail. The communication takes place virtually. The Vacuum Transport Research Seminar will take place from 12.04.2021 (https://www.vacuumtransport.org). |
Forschungsseminare | 4 |
Prof. Dr. Walter Neu, Dipl.-Phys. Prof. Dr.-Ing. Thomas Schüning |
|
| 5.04.4586 |
Digital Signal Processing
Monday: 16:00 - 18:00, weekly (from 12/04/21) Description: Engineering Physics: Alternative für Signal- und Systemtheorie Engineering Physics: Alternative für Signal- und Systemtheorie |
Lecture | 2 |
Prof. Dr. Simon Doclo |
|
| 5.06.M215 |
Future Power Supply (Lecture)
Monday: 14:00 - 16:00, weekly (from 12/04/21) Description: |
Lecture | 2 |
Prof. Dr. Carsten Agert Babak Ravanbach |
|
| 5.04.616 Ü3 |
Exercises to Mathematical Methods for Physics and Engineering II
Wednesday: 14:15 - 15:45, weekly (from 21/04/21) Description: |
Exercises | 2 |
Klaus Brümann Prof. Dr. Simon Doclo |
|
| 5.04.4215 Ü2 |
Exercises to Machine Learning II – Advanced Learning and Inference Methods
Thursday: 10:00 - 12:00, weekly (from 15/04/21), Übung Description: The students will deepen their knowledge on mathematical models of data and sensory signals. Building up on the previously acquired Machine Learning models and methods, the students will be lead closer to current research topics and will learn about models that currently represent the state-of-the-art. Based on these models, the students will be exposed to the typical theoretical and practical challenges in the development of current Machine Learning algorithms. Typical such challenges are analytical and computational intractabilities, or local optima problems. Based on concrete examples, the students will learn how to address such problems. Applications to different data will teach skills to use the appropriate model for a desired task and the ability to interpret an algorithm’s result as well as ways for further improvements. Furthermore, the students will learn interpretations of biological and artificial intelligence based on state-of-the-art Machine Learning models. Contents: This course builds up on the basic models and methods introduced in introductory Machine Learning lectures. Advanced Machine Learning models will be introduced alongside methods for efficient parameter optimization. Analytical approximations for computationally intractable models will be defined and discussed as well as stochastic (Monte Carlo) approximations. Advantages of different approximations will be contrasted with their potential disadvantages. Advanced models in the lecture will include models for clustering, classification, recognition, denoising, compression, dimensionality reduction, deep learning, tracking etc. Typical application domains will be general pattern recognition, computational neuroscience and sensory data models including computer hearing and computer vision. The students will deepen their knowledge on mathematical models of data and sensory signals. Building up on the previously acquired Machine Learning models and methods, the students will be lead closer to current research topics and will learn about models that currently represent the state-of-the-art. Based on these models, the students will be exposed to the typical theoretical and practical challenges in the development of current Machine Learning algorithms. Typical such challenges are analytical and computational intractabilities, or local optima problems. Based on concrete examples, the students will learn how to address such problems. Applications to different data will teach skills to use the appropriate model for a desired task and the ability to interpret an algorithm’s result as well as ways for further improvements. Furthermore, the students will learn interpretations of biological and artificial intelligence based on state-of-the-art Machine Learning models. Contents: This course builds up on the basic models and methods introduced in introductory Machine Learning lectures. Advanced Machine Learning models will be introduced alongside methods for efficient parameter optimization. Analytical approximations for computationally intractable models will be defined and discussed as well as stochastic (Monte Carlo) approximations. Advantages of different approximations will be contrasted with their potential disadvantages. Advanced models in the lecture will include models for clustering, classification, recognition, denoising, compression, dimensionality reduction, deep learning, tracking etc. Typical application domains will be general pattern recognition, computational neuroscience and sensory data models including computer hearing and computer vision. |
Exercises | 2 |
Prof. Dr. Jörg Lücke |
|
| 5.06.M207 Ü |
Übung zu Photovoltaic Systems
Wednesday: 14:15 - 15:45, weekly (from 14/04/21) Description: |
Exercises | 2 |
Hans-Gerhard Holtorf, PhD Dr. Martin Knipper |
|
| 5.04.4677 |
Engineering Scientific Instrumentation
Monday: 08:00 - 12:00, weekly (from 12/04/21) Description: To prove or disprove a theory an experiment is always needed. The deeper the theoretical question is behind an experiment the more complex it becomes. Engineering physics is exactly that working field, where you can realise experimental setups that are capable of answering the questions moving science today. Therefore you need understanding of the physics of the experiment and instruments but also the engineering to really set-up such an experiment. But how can this be done? How can you set-up a large project? How can you down flow the physical design of an experiment from the theoretical question? This will be answered within this lecture. As an example, the HIRES project will be presented. And then, we will start to work out an own project (the size depend on the number of students) with simulation, design, management and instrument development. To prove or disprove a theory an experiment is always needed. The deeper the theoretical question is behind an experiment the more complex it becomes. Engineering physics is exactly that working field, where you can realise experimental setups that are capable of answering the questions moving science today. Therefore you need understanding of the physics of the experiment and instruments but also the engineering to really set-up such an experiment. But how can this be done? How can you set-up a large project? How can you down flow the physical design of an experiment from the theoretical question? This will be answered within this lecture. As an example, the HIRES project will be presented. And then, we will start to work out an own project (the size depend on the number of students) with simulation, design, management and instrument development. |
Lecture | - |
Prof. Dr.-Ing. Philipp Huke |
|
| 5.04.4236 |
Aeroelastic Simulation of Wind Turbines for EWEM
Tuesday: 16:00 - 18:00, weekly (from 13/04/21) Description: A student who has met the objectives of the course will be able to: o understand the basic concept of an aero-servo-elastic computer code to determine the unsteady aerodynamic loads, o derive and validate the required parameters to model the aero-hydro-elastic response of a wind turbine, o identify and interpret the required empirical parameters to correct the blade element momentum (BEM) method with respect to dynamic inflow, unsteady airfoil aerodynamics (dynamic stall), yawed flow, dynamic wake modeling, o explain the effects of the different models on the resulting time series and validate the code, o interpret design standards for on- and offshore wind turbines, select the required load cases according to site-specific environmental data, o identify the dimensioning load cases and calculate design loads for different main components of a wind turbine. Contents: The course focuses on the practical implications and hands-on experience of the aero-hydro-servo-elastic modelling and simulation of wind turbines. The subjects are similar but the treatment is complementary to the parallel course ‘Design of Wind Energy Systems’, which deals with the underlying theo-retical background: o advanced wind field modelling for fatigue and extreme event loading, o modelling of wind farm flow and wake effects, o rotor aerodynamics (e.g. stationary or dynamic effects, comparison of Blade Element Momentum theory and more advanced methods like free vortex methods or CFD), o structural dynamics and dynamic modelling of wind tur-bine structures (modelling by ordinary or partial differential equations, stochastics, multi body system modelling), o advanced control of wind turbines, o design standards, design loads and design aspects of offshore and onshore wind turbines. The students analyse in pairs a model of an entire wind turbine with the aid of a typical wind turbine design tool like GH Bladed, Flex5 or Aerodyn/FAST. A student who has met the objectives of the course will be able to: o understand the basic concept of an aero-servo-elastic computer code to determine the unsteady aerodynamic loads, o derive and validate the required parameters to model the aero-hydro-elastic response of a wind turbine, o identify and interpret the required empirical parameters to correct the blade element momentum (BEM) method with respect to dynamic inflow, unsteady airfoil aerodynamics (dynamic stall), yawed flow, dynamic wake modeling, o explain the effects of the different models on the resulting time series and validate the code, o interpret design standards for on- and offshore wind turbines, select the required load cases according to site-specific environmental data, o identify the dimensioning load cases and calculate design loads for different main components of a wind turbine. Contents: The course focuses on the practical implications and hands-on experience of the aero-hydro-servo-elastic modelling and simulation of wind turbines. The subjects are similar but the treatment is complementary to the parallel course ‘Design of Wind Energy Systems’, which deals with the underlying theo-retical background: o advanced wind field modelling for fatigue and extreme event loading, o modelling of wind farm flow and wake effects, o rotor aerodynamics (e.g. stationary or dynamic effects, comparison of Blade Element Momentum theory and more advanced methods like free vortex methods or CFD), o structural dynamics and dynamic modelling of wind tur-bine structures (modelling by ordinary or partial differential equations, stochastics, multi body system modelling), o advanced control of wind turbines, o design standards, design loads and design aspects of offshore and onshore wind turbines. The students analyse in pairs a model of an entire wind turbine with the aid of a typical wind turbine design tool like GH Bladed, Flex5 or Aerodyn/FAST. |
Lecture | 2 |
Prof. Dr. Martin Kühn |
|
| 5.04.471Ü3 |
Exercises to Quantum Structure of Matter
Wednesday: 14:00 - 16:00, weekly (from 21/04/21) Description: |
Exercises | 2 |
Dr. Ana Maria Valencia Garcia Dr. Michele Guerrini Prof. Dr. Caterina Cocchi |
|
| 5.04.898 |
Bremen Oldenburg Relativity Seminar
Friday: 16:15 - 17:45, weekly (from 16/04/21) Description: |
Seminar | - |
Prof. Dr. Jutta Kunz-Drolshagen Claus Lämmerzahl |
|
| 5.04.4666 |
Personalized Medicine
Friday: 10:00 - 12:00, weekly (from 21/05/21) Friday: 12:00 - 14:00, weekly (from 16/04/21) Description: 2 SWS Vorlesung als Blockveranstaltung + Praktikum (Block nach Absprache) Dozent: Prof. Dr. rer. nat. Thorsten Schmidt, thorsten.schmidt1@uni-oldenburg.de 2 SWS Vorlesung als Blockveranstaltung + Praktikum (Block nach Absprache) Dozent: Prof. Dr. rer. nat. Thorsten Schmidt, thorsten.schmidt1@uni-oldenburg.de |
Lecture | 2 |
Prof. Dr. Thorsten Schmidt |
|
| 5.04.4882 |
Many-body perturbation theory
Wednesday: 10:00 - 12:00, weekly (from 14/04/21) Description: This course is aimed to provide an overview of the advanced methods of quantum mechanics for the study of many-particle problems in condensed-matter physics. The formalism of the single-particle and two-particle Green’s functions will be introduced and their connections with state-of-the-art numerical methods for electronic-structure theory will be disclosed. The course is primarily aimed to graduate students with a study and/or research profile in theoretical physics. However, the participation of graduate students and young researchers with an experimental background is equally welcome. Solid knowledge of quantum mechanics is a must to attend this course. Familiarity with theoretical solid-state physics and with the electronic-structure theory methods is a plus. This course is aimed to provide an overview of the advanced methods of quantum mechanics for the study of many-particle problems in condensed-matter physics. The formalism of the single-particle and two-particle Green’s functions will be introduced and their connections with state-of-the-art numerical methods for electronic-structure theory will be disclosed. The course is primarily aimed to graduate students with a study and/or research profile in theoretical physics. However, the participation of graduate students and young researchers with an experimental background is equally welcome. Solid knowledge of quantum mechanics is a must to attend this course. Familiarity with theoretical solid-state physics and with the electronic-structure theory methods is a plus. |
Seminar | - |
Prof. Dr. Caterina Cocchi |
|
| 5.04.4669 |
Workshop Management
Tuesday: 10:00 - 12:00, weekly (from 13/04/21), Seminar Description: Planspiel Projektmanagement Das Planspiel simuliert einen Projektmanagement-Prozess vom Erstkontakt mit dem Auftraggeber bis zum erfolgreichen Projektabschluss. Die Studierenden haben die Aufgabe das Projekt zu managen und selbst umzusetzen. Für die kompetente Definition, Planung, Steuerung und Umsetzung des Projekts stehen dabei zahlreiche Standard-Tools des Projektmanagements zur Verfügung: • Zieleplan • Projektstrukturplan • Meilensteinplan • Gantt-Diagramm • Projektberichte • Risikoanalysen • u. v. m. „Projekte ins Rollen bringen“ In einem Freizeitpark sollen mehrere Rutschen gebaut werden, die im Planspiel durch Murmelbahnen symbolisiert werden und als Modell mit den vorgegebenen Materialien geplant und gebaut werden. Für den Bau jeder Rutsche ist je ein Projektteam verantwortlich, dessen Aufgabe die Konzeption, Planung und der Bau ist. In den verschiedenen Projektphasen gilt es, die Management-Aufgaben und Arbeitspakete unter Berücksichtigung der zur Verfügung stehenden Ressourcen zu bewältigen. Die Teilnehmenden müssen dabei das Projekt nicht nur theoretisch planen und steuern, sondern auch praktisch umsetzen und die Murmelbahnen tatsächlich bauen. Schließlich wird das Planspiel durch Reflexions- und Transfermodelle abgerundet. https://www.dropbox.com/s/oanbv9w75450ulc/riva-SysTEAMSproject%20-%202018.mp4?dl=0 Students are able to organize summer schools, workshops, events, etc.. Planspiel Projektmanagement Das Planspiel simuliert einen Projektmanagement-Prozess vom Erstkontakt mit dem Auftraggeber bis zum erfolgreichen Projektabschluss. Die Studierenden haben die Aufgabe das Projekt zu managen und selbst umzusetzen. Für die kompetente Definition, Planung, Steuerung und Umsetzung des Projekts stehen dabei zahlreiche Standard-Tools des Projektmanagements zur Verfügung: • Zieleplan • Projektstrukturplan • Meilensteinplan • Gantt-Diagramm • Projektberichte • Risikoanalysen • u. v. m. „Projekte ins Rollen bringen“ In einem Freizeitpark sollen mehrere Rutschen gebaut werden, die im Planspiel durch Murmelbahnen symbolisiert werden und als Modell mit den vorgegebenen Materialien geplant und gebaut werden. Für den Bau jeder Rutsche ist je ein Projektteam verantwortlich, dessen Aufgabe die Konzeption, Planung und der Bau ist. In den verschiedenen Projektphasen gilt es, die Management-Aufgaben und Arbeitspakete unter Berücksichtigung der zur Verfügung stehenden Ressourcen zu bewältigen. Die Teilnehmenden müssen dabei das Projekt nicht nur theoretisch planen und steuern, sondern auch praktisch umsetzen und die Murmelbahnen tatsächlich bauen. Schließlich wird das Planspiel durch Reflexions- und Transfermodelle abgerundet. https://www.dropbox.com/s/oanbv9w75450ulc/riva-SysTEAMSproject%20-%202018.mp4?dl=0 Students are able to organize summer schools, workshops, events, etc.. |
Seminar | - |
Prof. Dr.-Ing. Philipp Huke |
|
| 5.04.4587 |
Advanced CFD and wind turbine aerodynamics
Wednesday: 14:00 - 16:00, weekly (from 14/04/21) Description: The aim is that the students learn how to approach all kinds of real numerical problems in CFD and solve them. Everyone is supposed to be set up to date on the current problems and challenges of CFD in aerodynamics and their solutions. Content: CFD wake modeling, grid generators and computational stability, developing fluid structure interaction solvers, detached eddy simulations (DES), turbulent inflow field generation The aim is that the students learn how to approach all kinds of real numerical problems in CFD and solve them. Everyone is supposed to be set up to date on the current problems and challenges of CFD in aerodynamics and their solutions. Content: CFD wake modeling, grid generators and computational stability, developing fluid structure interaction solvers, detached eddy simulations (DES), turbulent inflow field generation |
Seminar | 2 |
Dr. Bernhard Stoevesandt |
|
| 5.06.M203 |
Simulation of Renewable Energy Systems
Friday: 10:15 - 11:45, weekly (from 16/04/21) Description: Introduction to Software for the Simulation of Renewable Energy Systems Introduction to Software for the Simulation of Renewable Energy Systems |
Lecture | 2 |
Dr. Herena Torio Dr. Martin Knipper |
|
| 5.04.634 Ü1 |
Exercises to Applied Mechanics
Wednesday: 08:15 - 09:45, weekly (from 14/04/21) Description: Content: Static equilibrium (mainly 2D), frame works, friction (Coulomb), Hooke's law (3D including lateral contraction and thermal expansion), bending and torsion with planar cross sections, Mohr's theory Content: Static equilibrium (mainly 2D), frame works, friction (Coulomb), Hooke's law (3D including lateral contraction and thermal expansion), bending and torsion with planar cross sections, Mohr's theory |
Exercises | 2 |
Prof. Dr.-Ing. Florian Schmidt |
|
| 5.04.709 |
Berufsfeldbezogenes Praktikum Engineering Physics
Dates on Tuesday. 20.04.21 17:00 - 19:00
Description: Online Veranstaltung Anmeldung: "prx108_110_Berufsfeldbezogenes_Praktikum_Praxismodul_Engineering_Physics.xlsx" (siehe Dateien) ausfüllen. Termine: 1. Vorlesungswoche im WiSe 2. Vorlesungswoche im SoSe Hinweise zur Praxisphase: 1. Vor Antritt der Praxisphase eine Betreuerin / einen Betreuer an den beteiligten Hochschulen suchen. Liste siehe: https://uol.de/fileadmin/user_upload/f5/download/Studium_und_Lehre/Prueferlisten/2018/4_15IfP_PL_FBa_EngineeringPhysics.pdf 2. Praxisstelle suchen. Die thematische und zeitliche Verknüpfung mit der Bachelor Thesis ist möglich. Es sind zwei getrennte Prüfungsleistungen erforderlich. Genauere Absprache erfolgt mit den jeweiligen Betreuenden. 3. Durchführung (Dauer: 2 Monate) 4. Anerkennung: - Erforderliche Unterlagen lt. Prüfungsordnung (Bericht/Poster…) erstellen und Betreuerin/Betreuer zur Benotung vorlegen. Das Poster kann zeitlich unabhängig von der Präsentation bewertet werden. - Anmeldung zur Posterpräsentation unter Stud IP: 5.04.709 Berufsfeldbezogenes Praktikum Engineering Physcis, Datei prx108_110 Berufsfeldbezogenes Praktikum_Praxismodul Engineering Physics ausfüllen - (Falls die Veröffentlichung erlaubt ist: Hochladen der Poster-Datei unter Stud IP 5.04.709 (Dateiname: Name_Betreuer_Semester_Titel)) - Präsentation des Posters Termine i.d.R. jeweils im April (Sommersemester) und im Oktober (Wintersemester). Poster direkt mit zur Veranstaltung bringen und anschließend abgeben. Erläuterung des Inhalts (ca. 5 min) und Diskussion erfolgt am Poster in wechselnden Einzel- oder Kleingruppen. (Es ist keine extra PowerPoint Präsentation nötig.) Betreuerinnen und Betreuer der Hochschulen und Firmen sind herzlich eingeladen. - Minimale Angeben auf dem Poster: Titel, Name, Email-Adresse, Studiengang, Betreuer Hochschule & Firma, Logo’s beider Hochschule & Firma, Größe 70cm x 100cm. Poster, die schon auf Konferenzen präsentiert worden sind, können abweichen. Serviceleistung: Posterdruck an der HS Emden/Leer - Kostenloser Posterdruck für wissenschaftliche Zwecke bei vorhandenem Druckkontingent (1200 A4 Seiten/Semester) - Account beantragen/verlängern (mind. 2 Wochen Vorlaufzeit): engineering.physics@hs-emden-leer.de - Posterdatei (PDF) per email an plotter@hs-emden-leer.de schicken. Mindestens eine Woche Vorlaufzeit einplanen. - Nachricht an sandra.koch@hs-emden-leer.de, falls das Poster aus Emden direkt zur Präsentation mitgebracht werden soll. Ablauf der Posterpräsentation: - Poster aufhängen (Pinnwand und Nadeln sind vorhanden) - Kurze Erläuterung vorbereiten (ca. 5 min) - Evtl. Handout/Poster in A4 zum Verteilen erstellen - In lockerer Atmosphäre das eigene Poster einzelnen Personen oder Kleingruppen erläutern und selbst andere Poster ansehen. - Die Poster werden am Ende der Veranstaltung eingesammelt. Online Veranstaltung Anmeldung: "prx108_110_Berufsfeldbezogenes_Praktikum_Praxismodul_Engineering_Physics.xlsx" (siehe Dateien) ausfüllen. Termine: 1. Vorlesungswoche im WiSe 2. Vorlesungswoche im SoSe Hinweise zur Praxisphase: 1. Vor Antritt der Praxisphase eine Betreuerin / einen Betreuer an den beteiligten Hochschulen suchen. Liste siehe: https://uol.de/fileadmin/user_upload/f5/download/Studium_und_Lehre/Prueferlisten/2018/4_15IfP_PL_FBa_EngineeringPhysics.pdf 2. Praxisstelle suchen. Die thematische und zeitliche Verknüpfung mit der Bachelor Thesis ist möglich. Es sind zwei getrennte Prüfungsleistungen erforderlich. Genauere Absprache erfolgt mit den jeweiligen Betreuenden. 3. Durchführung (Dauer: 2 Monate) 4. Anerkennung: - Erforderliche Unterlagen lt. Prüfungsordnung (Bericht/Poster…) erstellen und Betreuerin/Betreuer zur Benotung vorlegen. Das Poster kann zeitlich unabhängig von der Präsentation bewertet werden. - Anmeldung zur Posterpräsentation unter Stud IP: 5.04.709 Berufsfeldbezogenes Praktikum Engineering Physcis, Datei prx108_110 Berufsfeldbezogenes Praktikum_Praxismodul Engineering Physics ausfüllen - (Falls die Veröffentlichung erlaubt ist: Hochladen der Poster-Datei unter Stud IP 5.04.709 (Dateiname: Name_Betreuer_Semester_Titel)) - Präsentation des Posters Termine i.d.R. jeweils im April (Sommersemester) und im Oktober (Wintersemester). Poster direkt mit zur Veranstaltung bringen und anschließend abgeben. Erläuterung des Inhalts (ca. 5 min) und Diskussion erfolgt am Poster in wechselnden Einzel- oder Kleingruppen. (Es ist keine extra PowerPoint Präsentation nötig.) Betreuerinnen und Betreuer der Hochschulen und Firmen sind herzlich eingeladen. - Minimale Angeben auf dem Poster: Titel, Name, Email-Adresse, Studiengang, Betreuer Hochschule & Firma, Logo’s beider Hochschule & Firma, Größe 70cm x 100cm. Poster, die schon auf Konferenzen präsentiert worden sind, können abweichen. Serviceleistung: Posterdruck an der HS Emden/Leer - Kostenloser Posterdruck für wissenschaftliche Zwecke bei vorhandenem Druckkontingent (1200 A4 Seiten/Semester) - Account beantragen/verlängern (mind. 2 Wochen Vorlaufzeit): engineering.physics@hs-emden-leer.de - Posterdatei (PDF) per email an plotter@hs-emden-leer.de schicken. Mindestens eine Woche Vorlaufzeit einplanen. - Nachricht an sandra.koch@hs-emden-leer.de, falls das Poster aus Emden direkt zur Präsentation mitgebracht werden soll. Ablauf der Posterpräsentation: - Poster aufhängen (Pinnwand und Nadeln sind vorhanden) - Kurze Erläuterung vorbereiten (ca. 5 min) - Evtl. Handout/Poster in A4 zum Verteilen erstellen - In lockerer Atmosphäre das eigene Poster einzelnen Personen oder Kleingruppen erläutern und selbst andere Poster ansehen. - Die Poster werden am Ende der Veranstaltung eingesammelt. |
Practical course | - |
Dr. rer. nat. Sandra Koch |
|
| 5.04.241Ü2 |
Übung zu Numerische Methoden der Physik / Numerics
Thursday: 12:00 - 14:00, weekly (from 15/04/21) Description: |
Exercises | 2 |
Jonas Klug Prof. Dr. Volker Hohmann, Dipl.-Phys. |
|
| 5.04.241Ü7 |
Übung zu Numerische Methoden der Physik/Numerics
Wednesday: 14:00 - 16:00, weekly (from 14/04/21) Description: |
Exercises | 2 |
Frauke Theuer Prof. Dr. Volker Hohmann, Dipl.-Phys. |
|
| 5.04.4065 |
Advanced Wind Energy Meteorology
Wednesday: 12:00 - 14:00, weekly (from 14/04/21) Description: |
Lecture | - |
Dr. Detlev Heinemann |
|
| 5.06.M207 |
Photovoltaic Systems
Thursday: 12:15 - 15:45, weekly (from 29/04/21), Please check regularly the updates Description: |
Lecture | 4 |
Hans-Gerhard Holtorf, PhD Dr. Martin Knipper |
|
| 5.04.614 Ü4 |
Exercises to Electrodynamics and Optics
Tuesday: 14:00 - 16:00, weekly (from 20/04/21) Description: Basics of Electrostatics Matter in an electric field The magnetic field Electrical circuits Motion of charges in electric and magnetic fields Magnetism in matter Induction Electromagnetic waves Light as electromagnetic wave Basics of Electrostatics Matter in an electric field The magnetic field Electrical circuits Motion of charges in electric and magnetic fields Magnetism in matter Induction Electromagnetic waves Light as electromagnetic wave |
Exercises | 2 |
Hauke Ukena Prof. Dr. Steven van de Par |
|
| 5.04.614 Ü1 |
Exercises to Electrodynamics and Optics
Tuesday: 10:00 - 12:00, weekly (from 20/04/21) Description: Basics of Electrostatics Matter in an electric field The magnetic field Electrical circuits Motion of charges in electric and magnetic fields Magnetism in matter Induction Electromagnetic waves Light as electromagnetic wave Basics of Electrostatics Matter in an electric field The magnetic field Electrical circuits Motion of charges in electric and magnetic fields Magnetism in matter Induction Electromagnetic waves Light as electromagnetic wave |
Exercises | 2 |
Ali Fallah Prof. Dr. Steven van de Par |
|
| 5.06.M216 |
Future Power Supply (Seminar)
Tuesday: 16:00 - 18:00, weekly (from 13/04/21) Description: |
Seminar | 2 |
Prof. Dr. Carsten Agert Babak Ravanbach |
|
| 5.04.4586 Ü1 |
Exercises to Digital Signal Processing
Wednesday: 12:00 - 14:00, weekly (from 21/04/21) Description: Engineering Physics: Alternative für Signal- und Systemtheorie Engineering Physics: Alternative für Signal- und Systemtheorie |
Exercises | 2 |
Daniel Fejgin |
|
| 5.04.616 |
Mathematical Methods for Physics and Engineering II
Friday: 12:15 - 13:45, weekly (from 16/04/21) Description: %%aim/ learning outcomes%% To obtain advanced knowledge in application of mathematical methods to solve problems in physics and engineering %%content%% Matrices and vector spaces (linear vector spaces, basis, norm, matrices, matrix operations, determinant, inverse matrix, eigenvalue decomposition) Quadratic forms Linear equations (Gauss elimination, least-squares solution) Functions of multiple variables (stationary points, constrained optimisation using Lagrange multipliers) Fourier series %%aim/ learning outcomes%% To obtain advanced knowledge in application of mathematical methods to solve problems in physics and engineering %%content%% Matrices and vector spaces (linear vector spaces, basis, norm, matrices, matrix operations, determinant, inverse matrix, eigenvalue decomposition) Quadratic forms Linear equations (Gauss elimination, least-squares solution) Functions of multiple variables (stationary points, constrained optimisation using Lagrange multipliers) Fourier series |
Lecture | 2 |
Prof. Dr. Simon Doclo |
|
| 5.06.M213 |
Wind Energy Applications - from Wind Resource to Wind Farm Applications
Friday: 08:15 - 09:45, weekly (from 16/04/21) Description: The students acquire an advanced knowledge in the field of wind energy applications. Special emphasis is on connecting physical and technical skills with the know-how in the fields of logistics, management, environment, finances, and economy. Practice-oriented examples enable the students to assess and classify real wind energy projects. Special situations such as offshore wind farms and wind farms in non-European foreign countries are included to give the students an insight into the crucial aspects of wind energy also relating to non-trivial realizations as well as to operating wind farm projects. Contents: Assessment of the resource wind energy: Weibull distribution, measurement of wind speeds to determine the energy yield, fundamentals of the WAsP method, partial models of WAsP, MCP method for long-term correction of measured wind data in correlation with long-term reference data, conditions for stable, neutral and instable atmospheric conditions, wind yield assessments from wind distribution and power curve, fundamentals of determining the annual wind yield potentials of individual single-turbine units. Tracking effects and wind farms: Recovery of the original wind field in tracking flow of wind turbines, fundamentals of the Risø model, distance spacing and efficiency calculation of wind turbines in wind farms, fundamentals of offshore wind turbines, positive and negative effects of wind farms. Operating wind farms: Influences on the energy yield of the power efficiency of wind farms, three-column model of sustainability: “magic triangle”, profit optimization for increased energy production The students acquire an advanced knowledge in the field of wind energy applications. Special emphasis is on connecting physical and technical skills with the know-how in the fields of logistics, management, environment, finances, and economy. Practice-oriented examples enable the students to assess and classify real wind energy projects. Special situations such as offshore wind farms and wind farms in non-European foreign countries are included to give the students an insight into the crucial aspects of wind energy also relating to non-trivial realizations as well as to operating wind farm projects. Contents: Assessment of the resource wind energy: Weibull distribution, measurement of wind speeds to determine the energy yield, fundamentals of the WAsP method, partial models of WAsP, MCP method for long-term correction of measured wind data in correlation with long-term reference data, conditions for stable, neutral and instable atmospheric conditions, wind yield assessments from wind distribution and power curve, fundamentals of determining the annual wind yield potentials of individual single-turbine units. Tracking effects and wind farms: Recovery of the original wind field in tracking flow of wind turbines, fundamentals of the Risø model, distance spacing and efficiency calculation of wind turbines in wind farms, fundamentals of offshore wind turbines, positive and negative effects of wind farms. Operating wind farms: Influences on the energy yield of the power efficiency of wind farms, three-column model of sustainability: “magic triangle”, profit optimization for increased energy production |
Lecture | 2 |
Dr. Hans-Peter Waldl |
|
| 5.04.648 |
Wind Energy Utilisation
Monday: 16:15 - 17:45, weekly (from 12/04/21) Thursday: 16:15 - 17:45, weekly (from 15/04/21) Description: This lecture with exercises is intended as introduction into physics and engineering of wind energy utilisation. Nevertheless also social, historical and political aspects are regarded. The lecture gives a deeper understanding of physical effects, methods, calculations and parameters into the field of wind energy utilisation, wind physics and wind energy science. Experiments and exhibits are used to deliver deeper insights into the subjects of the lectures. The appointments on Thurday are dedicated to a tutorial part. Here, an an introduction into the common and professional software WindPro ® is given and project-oriented work on a design of a wind farm is perfomed. Also, calculation exercises, which have to be solved as homework, are explained. Students who have attended »Wind Energy Utilisation« in the Bachelor phase should be able to directly enrol for advanced wind energy lectures in the Master phase (without attending 5.04.4061 – Wind Energy). Content: • The wind: generation, occurence, measurement, profiles etc.; • Energy and power in the wind; • Drag driven converters; • Principle of lift driven converters; • Dimensionless parameters and characteristic diagrams of wind turbines; • Optimum twist and horizontal plan of the rotor blade; • Rotor power losses; • Power control; • Generator concepts and grid interaction; • Loads; • Mechanical design and components of a wind turbine; • Calculation of energy yield; • Economics; • Wind farms, wakes and wind farm efficiency; • Environmental effects; • Unconventional converters; • Prepared discussion about social and political aspects; • Use of wind farm calculation software WindPro This lecture with exercises is intended as introduction into physics and engineering of wind energy utilisation. Nevertheless also social, historical and political aspects are regarded. The lecture gives a deeper understanding of physical effects, methods, calculations and parameters into the field of wind energy utilisation, wind physics and wind energy science. Experiments and exhibits are used to deliver deeper insights into the subjects of the lectures. The appointments on Thurday are dedicated to a tutorial part. Here, an an introduction into the common and professional software WindPro ® is given and project-oriented work on a design of a wind farm is perfomed. Also, calculation exercises, which have to be solved as homework, are explained. Students who have attended »Wind Energy Utilisation« in the Bachelor phase should be able to directly enrol for advanced wind energy lectures in the Master phase (without attending 5.04.4061 – Wind Energy). Content: • The wind: generation, occurence, measurement, profiles etc.; • Energy and power in the wind; • Drag driven converters; • Principle of lift driven converters; • Dimensionless parameters and characteristic diagrams of wind turbines; • Optimum twist and horizontal plan of the rotor blade; • Rotor power losses; • Power control; • Generator concepts and grid interaction; • Loads; • Mechanical design and components of a wind turbine; • Calculation of energy yield; • Economics; • Wind farms, wakes and wind farm efficiency; • Environmental effects; • Unconventional converters; • Prepared discussion about social and political aspects; • Use of wind farm calculation software WindPro |
Lecture | - |
Prof. Dr. Martin Kühn Dipl.-Ing. Andreas Hermann Schmidt |
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| 5.04.4244 |
Einführung in die Rastersondenmethoden
Tuesday: 08:00 - 10:00, weekly (from 13/04/21) Description: Rastertunnel- und Rasterkraftmikroskopie liefern seit 25 Jahren faszinierende Einblicke in die atomare Welt von Oberflächen. In der Veranstaltung wird eine umfassende Einführung in die physikalischen Grundlagen und die Funktionsweise dieser Messmethoden vermittelt. Zusätzlich sollen die vielfältigen Anwendungsgebiete beider Techniken als Ausgangspunkt dienen, mit verschiedenen Phänomenen der Oberflächenphysik vertraut zu werden. Die Studierenden erhalten einen Einblick in die strukturellen und elektronischen Eigenschaften von Oberflächen, in das Bindungsverhalten von Molekülen und Atomen, in magnetische und optische Prozesse an Oberflächen, jeweils untersucht auf einer atomaren Größenskala. Viele der vorgestellten Effekte werden mit Hilfe der Originalliteratur diskutiert, um den Umgang mit englischsprachigen Fachzeitschriften zu erleichtern. Inhalte: Einführung in Rastertunnel- und Rasterkraftmikroskopie, Aufbau von Festkörperoberflächen, Adsorption an Oberflächen, Elektronische, magnetische und optische Eigenschaften von Oberflächen, atomare Manipulation Rastertunnel- und Rasterkraftmikroskopie liefern seit 25 Jahren faszinierende Einblicke in die atomare Welt von Oberflächen. In der Veranstaltung wird eine umfassende Einführung in die physikalischen Grundlagen und die Funktionsweise dieser Messmethoden vermittelt. Zusätzlich sollen die vielfältigen Anwendungsgebiete beider Techniken als Ausgangspunkt dienen, mit verschiedenen Phänomenen der Oberflächenphysik vertraut zu werden. Die Studierenden erhalten einen Einblick in die strukturellen und elektronischen Eigenschaften von Oberflächen, in das Bindungsverhalten von Molekülen und Atomen, in magnetische und optische Prozesse an Oberflächen, jeweils untersucht auf einer atomaren Größenskala. Viele der vorgestellten Effekte werden mit Hilfe der Originalliteratur diskutiert, um den Umgang mit englischsprachigen Fachzeitschriften zu erleichtern. Inhalte: Einführung in Rastertunnel- und Rasterkraftmikroskopie, Aufbau von Festkörperoberflächen, Adsorption an Oberflächen, Elektronische, magnetische und optische Eigenschaften von Oberflächen, atomare Manipulation |
Lecture | 2 |
Apl.Prof.Dr. Achim Kittel |
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| 5.04.614 Ü3 |
Exercises to Electrodynamics and Optics
Tuesday: 10:00 - 12:00, weekly (from 20/04/21) Description: Basics of Electrostatics Matter in an electric field The magnetic field Electrical circuits Motion of charges in electric and magnetic fields Magnetism in matter Induction Electromagnetic waves Light as electromagnetic wave Basics of Electrostatics Matter in an electric field The magnetic field Electrical circuits Motion of charges in electric and magnetic fields Magnetism in matter Induction Electromagnetic waves Light as electromagnetic wave |
Exercises | 2 |
Dr. Stephan Töpken Prof. Dr. Steven van de Par |
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| 5.04.616 Ü1 |
Exercises to Mathematical Methods for Physics and Engineering II
Wednesday: 10:15 - 11:45, weekly (from 21/04/21) Description: |
Exercises | 2 |
Henri Gode Prof. Dr. Simon Doclo |
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| 5.04.471 |
Quantum Structure of Matter
Tuesday: 14:00 - 16:00, weekly (from 13/04/21) Thursday: 12:00 - 14:00, weekly (from 15/04/21) Description: |
Lecture | 4 |
Prof. Dr. Caterina Cocchi |
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| 5.06.M205 Ü |
Übung zu Performance of Renewable Energy
Tuesday: 14:15 - 15:45, weekly (from 13/04/21) Friday: 14:15 - 15:45, weekly (from 16/04/21) Description: |
Exercises | - |
Hans-Gerhard Holtorf, PhD Andreas Günther Cuauhtemoc Adrian Jimenez Martinez Dr. Martin Knipper |
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| 5.04.471Ü2 |
Exercises to Quantum Structure of Matter
Wednesday: 08:00 - 10:00, weekly (from 21/04/21) Description: |
Exercises | 2 |
Dr. Michele Guerrini Prof. Dr. Caterina Cocchi |
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| 5.04.201a Ü1 |
Exercises to Thermodynamics and Statistics
Friday: 08:15 - 09:45, weekly (from 16/04/21) Description: |
Exercises | - |
Paul Hulsman Prof. Dr. Niklas Nilius |
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| 5.04.632 |
Basic Laboratory II
Thursday: 09:00 - 13:00, weekly (from 15/04/21) Thursday: 14:00 - 18:00, weekly (from 15/04/21) Dates on Tuesday. 13.04.21 10:15 - 12:00 Description: Students will learn the basics of physical experimentation, the use of modern instrumentation, data collection, and analysis using appropriate hardware and software. They deepen lecture material through their own experiments. They acquire the skills for planning, implementation, evaluation, analysis, and reporting of physical experiments and presenting of results using multimedia tools. By working in groups, they gain competencies in the areas of teamwork and communication. Content: Introduction to software for scientific data analysis, analysis and assessment of measurement uncertainties, analysis and verification of measured data, fitting of functions to measured data, dealing with modern measurement techniques, carrying out experiments in the fields of mechanics, electricity, optics, nuclear radiation, electronics, signal acquisition, signal processing. Students will learn the basics of physical experimentation, the use of modern instrumentation, data collection, and analysis using appropriate hardware and software. They deepen lecture material through their own experiments. They acquire the skills for planning, implementation, evaluation, analysis, and reporting of physical experiments and presenting of results using multimedia tools. By working in groups, they gain competencies in the areas of teamwork and communication. Content: Introduction to software for scientific data analysis, analysis and assessment of measurement uncertainties, analysis and verification of measured data, fitting of functions to measured data, dealing with modern measurement techniques, carrying out experiments in the fields of mechanics, electricity, optics, nuclear radiation, electronics, signal acquisition, signal processing. |
Practical training | - |
Hans Josef Brückner Dr. rer. nat. Sandra Koch Markus Schellenberg Bert Struve Ulrich Teubner Sabine Tiedeken Lars Jepsen Volker Braun Stefan Wild Georges Makdissi Bernhard Neumann Prof. Dr.-Ing. Philipp Huke |
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| 5.04.637 |
Laboratory Project I
Monday: 18:00 - 20:00, weekly (from 12/04/21) Description: Final presentations Final presentations |
Practical training | - |
Dr. rer. nat. Sandra Koch Markus Schellenberg Bert Struve Ulrich Teubner Prof. Dr. Walter Neu, Dipl.-Phys. Prof. Dr.-Ing. Thomas Schüning Stefan Wild Lars Jepsen Sabine Tiedeken Volker Braun Prof. Dr.-Ing. Philipp Huke Georges Makdissi |
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| 5.06.M203 Ü |
Simulation of Renewable Energy Systems
Monday: 10:15 - 11:45, weekly (from 12/04/21) Description: Introduction to Software for the Simulation of Renewable Energy Systems Introduction to Software for the Simulation of Renewable Energy Systems |
Exercises | 2 |
Dr. Herena Torio Dr. Martin Knipper |
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| 97 Seminars | |||||